CN114006408A - Dynamic micro-grid group secondary coordination control method and device based on data optimization - Google Patents
Dynamic micro-grid group secondary coordination control method and device based on data optimization Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/388—Islanding, i.e. disconnection of local power supply from the network
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
The invention discloses a dynamic micro-grid group secondary coordination control method and a device based on data optimization, wherein the method comprises the following steps: s01, dividing all converters in each sub-microgrid into primary converters, and dividing all converters interconnected among the microgrids into secondary converters; s02, when the primary converter and the secondary converter receive control data, judging whether the received data is credible, if so, taking the received control data as a secondary control signal, otherwise, re-determining the secondary control signal; and S03, executing secondary control in each sub-micro grid by each primary converter according to the determined secondary control signal, and executing secondary control among the sub-micro grids by each secondary converter according to the determined secondary control signal. The invention has the advantages of simple implementation mode and method, capability of fully exerting the advantages of the cluster, high safety and reliability and the like.
Description
Technical Field
The invention relates to the technical field of micro-grid group control, in particular to a dynamic micro-grid group secondary coordination control method based on data optimization.
Background
The isolated micro-grids form a micro-grid group through an interconnection technology, so that the operation level of the individual micro-grid can be effectively improved, the power supply quality of users is improved, and the method is an effective technical means for relieving the energy crisis and solving the power supply problem in remote areas. Because island micro-grid groups usually utilize a plurality of natural resources with strong fluctuation properties such as wind turbines, photovoltaics and the like on site to generate electricity, the island micro-grid groups are usually provided with energy storage to adjust the balance and stability of the island electricity supply and demand. Therefore, the primary energy source has diversity and strong fluctuation. Meanwhile, the distributed load also has randomness, and a remote area is not supported by the main network. Therefore, problems such as voltage frequency deviation, poor electric energy quality, low energy utilization efficiency, and poor economical efficiency are encountered.
In view of the above problems of the microgrid, the microgrid needs to be secondarily controlled. However, the existing microgrid group secondary control is usually performed only on each isolated microgrid, that is, the secondary control is performed only inside each island microgrid group, and reasonable coordination control among microgrids is lacked, and mutual-assistance complementation is difficult to realize among different microgrids, so that efficient and flexible interaction of power under a stable state of the microgrid group is difficult to guarantee to achieve the advantages of the microgrid group, and even the performance of a single microgrid may be reduced. Especially for the looped network type micro-grid group of various different types of micro-grids, the above problem will be more prominent due to the more complicated group structure.
For the secondary coordination control of the looped network type microgrid group, in the prior art, control signals are generally directly sent to each converter inside each microgrid respectively, and each converter operates according to the received control signals to realize regulation and control, and the method has the following problems:
1) a plurality of converters exist in each microgrid, a communication system is complex, the control complexity and the communication cost are high when the control of the plurality of converters is realized, and the control precision and the communication bandwidth are difficult to be considered;
2) only secondary control is carried out in each island micro-grid group, coordination control among sub-micro-grids is lacked, efficient and flexible interaction of power under the steady state of the micro-grid group is difficult to guarantee, and the advantages of the clusters cannot be exerted;
3) data transmitted inside the microgrid may be unreliable, if malicious data attack may occur, each converter is directly regulated according to the received control signal, and the problem of poor safety and reliability exists.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the technical problems in the prior art, the invention provides the dynamic microgrid group secondary coordination control method based on data optimization, which has a simple implementation mode and a high safety and reliability, and can give full play to the advantages of the cluster.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
a secondary coordination control method for a dynamic micro-grid group based on data optimization comprises the following steps:
s01, grading division: dividing all converters in each sub-microgrid into primary converters, and dividing all converters interconnected among the microgrids into secondary converters;
s02, data optimization: when the first-stage converter and the second-stage converter receive control data, judging whether the received data is credible, if so, taking the received control data as a secondary control signal, otherwise, acquiring local measurement data of the converters to re-determine the secondary control signal;
s03, secondary control: each of the primary inverters performs secondary control within each of the piconets according to the secondary control signal determined in step S02, and each of the secondary inverters performs secondary control between the piconets according to the secondary control signal determined in step S02.
Further, in the step S02, if | Δ Xlc-ΔXccError less than a predetermined confidence level emaxIf the received data is not authentic, determining the received data to be authentic, otherwise, determining the received data to be not authentic, wherein the value of the delta X islcFor secondary control signals calculated from local actual direct measurement signals, Δ XccIs a secondary control signal calculated using the received control data.
Further, after the step S02 determines the secondary control signal, the method further includes generating a primary control compensation signal according to the determined secondary control signal; in step S03, each of the first-stage converter and the second-stage converter further includes sending the generated primary control compensation signal to a primary control.
Further, when it is determined in step S02 that the control data received by the target converter is authentic, the target converter uses the received control signal as a secondary control input in step S03, and sends the received control signal to the primary control as a primary control compensation signal; when it is determined in step S02 that the control data received by the target converter is not authentic, the target converter uses the control signal calculated from the local measurement data as a secondary control input in step S03, and transmits the control signal calculated from the local measurement data as a primary control compensation signal to the primary control.
Further, the step S01 further includes: dynamically selecting one primary converter as a primary dynamic main reference unit according to the real-time state parameters of each primary converter in each sub-microgrid, and transmitting the information of the primary dynamic main reference unit as control information to other primary converters; and dynamically selecting one secondary converter as a secondary dynamic main reference unit according to the information of the dynamic main reference unit of each sub-microgrid, and transmitting the information of the secondary dynamic main reference unit as control information to other secondary converters.
Further, when the primary dynamic main reference unit is selected, the corresponding local reference coefficients are calculated according to the real-time state parameters of the primary converters respectively, and the primary converter corresponding to the maximum value of the local reference coefficients is used as the primary dynamic main reference unit.
Further, when the secondary dynamic main reference unit is selected, the state parameters of the primary dynamic main reference unit of each sub-microgrid are selected and obtained, and the secondary converter corresponding to the target primary dynamic main reference unit with the maximum value is screened out and used as the secondary dynamic main reference unit.
A dynamic microgrid group secondary coordination control device based on data optimization comprises:
the primary converters comprise all converters in each sub-microgrid;
the two-stage converter comprises all converters interconnected among the micro-grids;
the data optimization module is used for judging whether the received data is credible or not when the primary converter and the secondary converter receive the control data, if so, the received control data is used as a secondary control signal, and otherwise, local measurement data of the converters are obtained to re-determine the secondary control signal;
and a secondary control module, configured to execute secondary control inside each microgrid by each primary converter according to the determined secondary control signal, and execute secondary control among the piconets by each secondary converter according to the secondary control signal determined in step S02.
Further, the system also comprises a dynamic main reference unit determining unit, which is used for dynamically selecting one primary converter as a primary dynamic main reference unit according to the real-time state parameters of the primary converters in each sub-microgrid, and transmitting the information of the primary dynamic main reference unit as control information to other primary converters; and dynamically selecting one secondary converter as a secondary dynamic main reference unit according to the information of the dynamic main reference unit of each sub-microgrid, and transmitting the information of the secondary dynamic main reference unit as control information to other secondary converters.
The system further comprises a primary control module for executing primary control and a three-phase bridge circuit for generating a local measurement signal of the converter, wherein the three-phase bridge circuit is connected with the secondary control module through the primary control module, the primary control module outputs a state parameter of the converter to the secondary control module, and the secondary control module generates a primary control compensation signal according to the determined secondary control signal and sends the primary control compensation signal to the primary control module.
Compared with the prior art, the invention has the advantages that:
1. the invention realizes hierarchical control of all converters by grading the converters in the microgrid group, judges the credibility of data when each converter receives control data for control, controls the converter by using the received data only when the converter is judged to be credible, and otherwise controls the converter by using a control signal obtained by locally measuring data, thereby ensuring the safety and reliability of control under the incredible conditions of attack by malicious data and the like.
2. According to the invention, by executing secondary control on each primary converter, secondary coordination control in a single microgrid can be realized, secondary control on each secondary converter can be realized, secondary coordination control among grids and microgrids can also be realized, efficient and flexible interaction of power in a microgrid group under a steady state can be effectively ensured, and the advantages of clustering are fully exerted.
3. According to the invention, when all the converters in the microgrid are secondarily controlled, the reliability of the control data received by the converters is judged, and the control data is optimized by combining the reliability judgment result, so that the reliability and robustness of the system under the conditions of large communication delay, communication failure or malicious attack can be greatly enhanced.
4. The invention further screens the main reference unit in real time and dynamically to serve as the unified reference of other converters during secondary control, the main reference unit is not fixed, and for converters of the same level, other primary converters perform tracking control by taking the determined dynamic main reference unit as a unified reference signal, so that secondary control can be dynamically adjusted according to the real-time state in the network, the problem of difference of different converters and communities and the difference among communities can be solved, and the reliability and robustness of the system can be effectively enhanced.
5. The invention can also realize the secondary coordination control of the micro-grid group system based on ultra-low bandwidth communication, is convenient for expanding and applying to various topological structure type micro-grid groups, and can greatly reduce the communication burden of the secondary coordination control of the micro-grid group system.
Drawings
Fig. 1 is a schematic flow chart of an implementation process of the dynamic microgrid group secondary coordination control method based on data optimization in the embodiment.
Fig. 2 is a schematic diagram of the hierarchical control management of the transformer in the present embodiment.
Fig. 3 is a detailed flowchart illustrating implementation of secondary coordination control of a microgrid group in an embodiment of the present invention.
Fig. 4 is a schematic diagram of the control principle of the one-stage converter in the present embodiment.
Fig. 5 is a schematic diagram of the control principle of the two-stage converter in the present embodiment.
Detailed Description
The invention is further described below with reference to the drawings and specific preferred embodiments of the description, without thereby limiting the scope of protection of the invention.
As shown in fig. 1, the steps of the dynamic microgrid group secondary coordination control method based on data optimization in this embodiment include:
s01, grading division: dividing all converters in each sub-microgrid into primary converters, and dividing all converters interconnected among the microgrids into secondary converters;
s02, data optimization: when the first-stage converter and the second-stage converter receive the control data, judging whether the received data is credible, if so, taking the received control data as a secondary control signal, otherwise, acquiring local measurement data of the converters to re-determine the secondary control signal;
s03, secondary control: each primary converter executes secondary control in each microgrid according to the secondary control signal determined in step S02, and each secondary converter executes secondary control between each microgrid according to the secondary control signal determined in step S02.
In the embodiment, the converters in the microgrid group are classified, the distributed micro-source interface converters in each sub-microgrid are used as the primary converters, the converters between the microgrids are used as the secondary converters, hierarchical control of all the converters is realized, secondary control is performed on each primary converter, secondary coordination control in a single microgrid is realized, secondary control is performed on each secondary converter, secondary coordination control between the microgrid groups is realized, efficient and flexible interaction of power of the microgrid group in a steady state can be effectively guaranteed, and the advantages of the clustering are fully exerted; meanwhile, when the control data are received by each converter for control, the credibility of the data is judged, the received data are used for control only when the control data are judged to be credible, otherwise, the control signals obtained by local measurement data are used for control, and the safety and reliability of control under the incredible conditions of being attacked by malicious data and the like can be ensured, so that the efficiency and the safety and reliability of the secondary coordination control of the microgrid group can be effectively considered in combination with hierarchical control and data optimization control, and the method is particularly suitable for realizing the secondary coordination control of complex microgrids such as ring network topology and the like.
As shown in fig. 2, in this embodiment, first, the converters in the ring-type microgrid group including multiple subnetworks are classified into distributed micro-source interface converters inside each microgrid and bidirectional interconnection converters between buses of each microgrid according to the grade of the interface converters. The micro-source interface converter mainly influences the primary micro-source and the bus connected with the primary micro-source interface converter, the priority level is lowest, the bidirectional interconnection converter relates to energy flow of energy of networks at two ends, and indirectly influences the micro-source flow direction inside the sub-micro-grid connected with the bidirectional interconnection converter or the sub-micro-grid connected to the same bus, so that the distribution priority level is higher. The converters are hierarchically managed through hierarchy division, so that the problems of difference between different micro sources inside a single microgrid and difference between the microgrid and the microgrid can be solved, and the expansion of a multi-topology structure is facilitated.
Step S01 of this embodiment further includes: dynamically selecting one primary converter as a primary dynamic main reference unit according to the real-time state parameters of each primary converter in each sub-microgrid, and transmitting the information of the primary dynamic main reference unit as control information to other primary converters; and dynamically selecting a secondary converter as a secondary dynamic main reference unit according to the information of the dynamic main reference unit of each sub-microgrid, and transmitting the information of the secondary dynamic main reference unit as control information to other secondary converters. During secondary control, the main reference unit is screened in a real-time dynamic mode to serve as a unified reference of other converters, the main reference unit is not fixed, for converters of the same level, other primary converters perform tracking control by taking the determined dynamic main reference unit as a unified reference signal, secondary control can be dynamically adjusted according to the real-time state in the network, and when all reference coefficients of the same level tend to be consistent, various originally-set control targets can be efficiently achieved, namely secondary coordination control inside each sub-microgrid and among each sub-microgrid is achieved.
In this embodiment, when the primary dynamic main reference unit is selected, the corresponding local reference coefficients are calculated according to the real-time state parameters of the primary converters, and the primary converters are transformed according to the local reference coefficientsSelecting a primary dynamic main reference unit according to the local reference coefficient of the device, wherein the real-time state parameter comprises power PsijFrequency f of the convertersijConverter port voltage vsijAnd a converter power generation cost parameter CsijAnd the like.
The secondary control targets of the embodiment specifically include voltage, frequency, power equalization, economic operation management and the like, and the restriction factors that can be considered for achieving the targets include capacity of a micro source, power generation cost, reliability, economy and reliable economyiMGj) Namely, the first-stage converter with the maximum local reference coefficient is selected, namely:
wherein, FX1MGj,FX2MGj,FXnMGjThe number of the local reference coefficients corresponding to the n converters is 1, 2 in the jth sub-microgrid respectively, and FXmaxjFor the maximum value of all local reference coefficients in the jth sub-microgrid, the converter with the maximum value is set as a dynamic main reference unit in the sub-microgrid, max is a function of the maximum value, XiMGjRepresenting the state parameters of the ith primary converter in the jth sub-microgrid, including real-time state parameters including power PsijFrequency f of the convertersijConverter port voltage vsijAnd a converter power generation cost parameter CsijAnd the like.
For the primary converters of the same level, the other primary converters perform tracking control by taking the determined primary dynamic main reference unit as a uniform reference signal, and when the local reference coefficients of all the primary converters tend to be consistent, secondary coordination control in the sub-microgrid can be realized.
In order to reduce the communication burden, in the embodiment, each primary converter specifically executes a preset primary weight selection function to calculate a corresponding first waiting time according to the local reference coefficient, and uses the primary converter corresponding to the minimum value of the calculated first waiting time as a primary dynamic main reference unit, where the primary weight selection function is a relationship function between the local reference coefficient of the primary converter and the waiting time. The first-level weight selection function is specifically:
tDiMGj＝-kMGj(FXiMGj-FXmaxj)+TMGj (2)
wherein k isMGjIs the proportionality coefficient, T, of the jth sub-microgridMGjThe first fixed waiting time set in the weight selection function of all the first-level converters of the jth sub-microgrid also determines the communication period, F, inside the corresponding jth sub-microgridXmaxjIs the maximum value of all local reference coefficients, F, in the jth sub-microgrid obtained from the communication busXiMGjA local reference coefficient, t, of the ith primary converter in the jth sub-microgridDiMGjAnd calculating the waiting time obtained by the weight selection function of the ith primary converter in the jth sub-microgrid.
In the embodiment, a local weight selection function is executed by the primary converters in the same sub-microgrid together, the dynamic main reference unit with the maximum local reference coefficient is screened out based on the local weight selection function, information collection and comparison are not required to be carried out through communication, the dynamic main reference unit can be directly and quickly screened out, the uniqueness of a selection result can be ensured, the control precision and the communication bandwidth during multi-target simultaneous control can be considered, and the adaptability to a multi-topology structure is further enhanced.
Specifically, when each primary converter is controlled, each primary converter can calculate a waiting time t reflecting the current state of the converter according to the formula (2)DiMGjAnd has a minimum tDiMGjThe first-order converter of (2) shows that it has the largest reference coefficient FXiMGjTherefore, the waiting time is shortest, and the internal timer finishes the fastest timing, so that the right of the communication bus is firstly preempted, and the information of the internal timer is sent to other first-stage converters to be used as the unified reference in the jth sub-microgrid.
In this embodiment, after the information of the dynamic main reference unit is sent to other first-level converters as a unified reference in each sub-microgrid, the method further includes the step of waiting time t of the dynamic main reference unitDiMGjAnd clearing to reset, and after receiving the information of the primary main reference unit, carrying out counting and clearing of the waiting time by other converters, so that the dynamic main reference unit can be selected again based on the local weight selection function, and the dynamic main reference unit is ensured to be selected and determined in real time according to the running state of each converter.
In this embodiment, cooperation between sub-micro-grids is realized by using control of the secondary converters, and when the secondary converters select the secondary dynamic main reference units, state parameters of the primary dynamic main reference units of each sub-micro-grid are specifically obtained, and the secondary converters corresponding to the target primary dynamic main reference units with the maximum values are screened out to serve as the secondary dynamic main reference units.
In this embodiment, when selecting the secondary main reference unit, the secondary converter corresponding to the maximum signal value in the primary dynamic main reference units of all the sub-piconets is specifically selected as the secondary main reference unit, that is, the secondary main reference unit is:
FMGmax＝max(FXmax1,FXmax2,....FXmaxj) (3)
wherein, FXmax1,FXmax2,FXmaxjRespectively representing parameters of a first-level dynamic main reference unit in the 1 st sub-microgrid, parameters of a first-level dynamic main reference unit in the 2 nd sub-microgrid and parameters of a first-level dynamic main reference unit in the jth sub-microgrid; fMGmaxThe maximum value of the signals of the primary dynamic main reference units of all the sub-piconets collected by all the secondary converters is obtained, the secondary converter with the maximum value is the secondary dynamic main reference unit of the system, the corresponding sub-piconet is the main reference sub-piconet in all the sub-piconets, and max is a function of the maximum value.
In order to reduce the communication burden, in this embodiment, each secondary converter respectively executes a preset secondary weight selection function to calculate corresponding second waiting time according to a local reference coefficient of each sub-microgrid, the local reference coefficient is calculated according to a real-time state parameter of the primary converter, the secondary converter corresponding to the minimum value of the calculated second waiting time is used as a secondary dynamic main reference unit, and the secondary weight selection function is a relation function between the local reference coefficient of the secondary converter and the waiting time; the secondary weight selection function is specifically:
tBj＝-kBj(FMGmax-FXmaxj)+TBj (4)
wherein k isBjIs the scaling factor, T, of the jth two-stage converterBjThe second fixed latency for all the secondary converters to set for the secondary weight selection function also determines the communication period between all the secondary converters. FXmaxjObtaining the maximum value, F, of all local reference coefficients in the jth sub-microgrid for the jth secondary converter from the communication busMGmaxMaximum value t of parameters of primary dynamic main reference units of all sub-micro-grids collected by all secondary convertersBjAnd executing the second waiting time calculated by the weight selection function for the jth secondary transformer.
According to the embodiment, the secondary dynamic main reference unit can be directly and quickly screened out by executing the secondary local weight selection function without collecting and comparing information by communication.
In step S02 of the present embodiment, if | Δ Xlc-ΔXccError less than a predetermined confidence level emaxIf the received data is not authentic, determining the received data to be authentic, otherwise, determining the received data to be not authentic, wherein the value of the delta X islcFor secondary control signals calculated from local actual direct measurement signals, Δ XccIs a secondary control signal calculated using the received control data.
When the communication process in the microgrid exceeds the communication delay range or communication fails or even is attacked by malicious data, timeliness and accuracy reliability of information interaction between micro sources and between different sub-microgrids are affected, so that serious power imbalance between different microgrids can be caused, system stability problems can even be caused, and information physical security is affected by the credibility of data. In the embodiment, when all the converters in the microgrid are subjected to secondary control, reliability judgment is carried out on the control data received by the converters, and the control data is optimized by combining the reliability judgment result, so that the reliability and robustness of the system under the conditions of large communication delay, communication failure or malicious attack can be greatly enhanced.
After the step S02 in this embodiment determines the secondary control signal, the method further includes generating a primary control compensation signal according to the determined secondary control signal; in step S03, the first-stage converter and the second-stage converter further include a primary control compensation signal generator for generating a primary control compensation signal.
Specifically, when it is determined in step S02 that the control data received by the target converter is authentic, in step S03, the target converter uses the received control signal as a secondary control input, and sends the received control signal as a primary control compensation signal to the primary control; when it is determined in step S02 that the control data received by the target converter is not authentic, the target converter uses the control signal calculated from the local measurement data as a secondary control input in step S03, and transmits the control signal calculated from the local measurement data as a primary control compensation signal to the primary control.
The local measurement signal is a parameter obtained by directly measuring the converter, and a control signal is obtained by calculation based on the measurement parameter and is used as secondary control input when the data is judged to be unreliable. Although information directly measured by each node is not as accurate as a communication reference signal and may have differences in numerical value, the variation trends are similar, so that the control performance can be ensured on the premise of ensuring the control reliability by using a control signal calculated by using a local measurement signal under the condition that data is not credible. The acquisition mode of the local measurement signal can be selected according to actual requirements, for example, a three-phase bridge circuit and other measurement converters can be adopted to measure current, voltage signals and other signals of the converter, some non-electrical information which cannot be directly measured can be adopted, and auxiliary accuracy judgment can be carried out by means of an electrical system. Because the secondary control signal is screened by the reliability, the primary control compensation is carried out based on the secondary control signal, and the compensation effect of the primary control can be further ensured while the reliability of the secondary control is ensured.
The embodiment specifically executes a local data optimization function to determine a final secondary control signal by comparing a secondary control signal calculated from a local actual direct measurement signal with a secondary control signal calculated from communication information. The local data optimization function of the primary converter is specifically shown in formula (5).
ΔXlciMGj＝F(vabci,iabci)
ΔXcciMGj＝F(FXmaxj,FXiMGj)
Wherein v isabci,iabciIs a measured converter local voltage current signal; f (v)abci,iabci) Is given by vabci,iabciThe functions are set for input quantity according to control targets such as voltage regulation, frequency modulation, power equalization, economic optimization and the like; Δ XlciMGjFor secondary control signals calculated from local actual direct measurement signals, F (F)Xmaxj,FXiMGj) To be FXmaxj,FXiMGjΔ X is a function set for input quantity according to control targets such as voltage regulation, frequency modulation, power equalization, economic optimization and the likecciMGjFor the secondary control signal calculated using the received communication information (control data), Δ XciMGjFor optimizing the compensation signal which is finally supplied to the primary control of the primary converter by means of a local data function, emaxAs a confidence level.
If | Δ X is given as in the above formula (5)lciMGj-ΔXcciMGjI error less than the set confidence level emaxΔ X, indicating that the communication information is trustedciMGj＝ΔXcciMGjI.e. directly with the received control signal asAnd the compensation signal is transmitted to the primary control part, and the received control signal is the information of the primary dynamic main reference unit. If the error is greater than the set confidence level emaxIf the communication delay or the communication failure exceeding the boundary occurs or the network attack data is maliciously tampered, the signal transmitted from the communication bus is abandoned, and the signal directly measured locally is adopted for calculation to obtain the signal delta X generated by the secondary controlciMGj＝ΔXlciMGjAnd the calculated Russian control signal is used as a compensation signal transmitted to the primary control.
As shown in fig. 3 and 4, in the control of the primary converter of this embodiment, the control circuit is composed of three major parts, i.e., a secondary control part, a primary control part, and a three-phase bridge circuit, and the secondary control module collects a control signal X output by the primary converteriMGj(comprises Psij,Csij,fsij,vsijEtc.) generating a reference coefficient F of the converter via equation (1)XiMGjWhile simultaneously reacting FXiMGjThe sending and primary local weight function module is as formula (2) to judge the FXiMGjWhether the reference coefficient is the maximum reference coefficient in the jth sub-microgrid; if the maximum value is the maximum value, the maximum value is sent to other first-level converters through a communication bus to serve as a unified reference; if the F isXiMGjNot the maximum reference coefficient of the system, the first-stage converter receives a reference signal F from the communication busXmaxjThen the information FXmaxjThe input data optimization function module judges whether the signal is credible according to the formula (5), if so, the signal is the input signal of the secondary control, and the compensation signal delta X for the primary control is generated through the calculation of the formula (5)ciMGj＝ΔXcciMGjOtherwise, the primary converter is used to measure the local voltage-current signal vabcj,iabcjAs an input signal for the secondary control, and generates a compensation signal Δ X for the primary control by calculation using equation (5)ciMGj＝ΔXlciMGj(ii) a The primary control part controls the actual output of the converter after receiving the compensation signal, so that the tracking of the dynamic main reference unit in the sub-microgrid can be realized,and finally, when the reference factors of all the first-stage converters in the sub-microgrid (expressed as the jth sub-microgrid) are equal, as shown in formula (6), it is shown that the goals of voltage frequency adjustment, power equalization, economic optimization and the like set in formula (1) are achieved, and secondary control of each part of a single sub-microgrid is completed.
FX1MGj＝FX2MGj＝FX3MGj…＝FXnMGj (，6)
Wherein, FX1MGj,FX2MGj,FXnMGjAnd the local reference coefficients are respectively corresponding to the n converters with the serial numbers of 1 and 2 in the jth sub-microgrid.
The F (h) function of each piconet may be different, but preferably the micro-sources in the same piconet share one function to ensure uniformity of coordination.
Similar to the primary converter, the present embodiment specifically executes a data optimization function on the secondary converter, where the data optimization function is to compare a secondary control signal calculated by the secondary converter through a local actual direct measurement signal with a secondary control signal calculated by using communication information, as shown in formula (7).
ΔXlcBj＝F(uabcj,iBabcj)
ΔXccBj＝F(FmaxMG,FXmaxj)
Wherein u isabcj,iBabcjMeasuring a local voltage current signal of the secondary converter; f (u)abcj,iBabcj) Is given by uabcj,iBabcjThe functions are input quantities and set according to coordination control targets among the sub-micro grids; Δ XlcBjFor secondary control signals calculated from local actual direct measurement signals, F (F)maxMG,FXmaxj) To be FmaxMG,FXmaxjΔ X, a function set for an input amount and based on a coordinated control target between sub-micro gridsccBjFor the secondary control signal calculated using the communication information, Δ XcBjFor optimizing the compensation signal which is finally supplied to the primary control part of the primary converter by means of a local data function, emaxBIs the confidence level set in the two-level converter.
If the error | Δ X is equal to the above equation (7)lcBj-ΔXccBjA confidence level e of | less than or equal to the settingmaxBIf the communication information is reliable, the input signal of the secondary control of the secondary converter is still the received communication signal, and the compensation signal delta X output to the primary control is calculated and generatedcBj＝ΔXccBjAnd the compensation signal is used as a compensation signal transmitted to the primary control of the secondary converter; if the error is | Δ XlcBj-ΔXccBjI is greater than the set confidence level emaxBIf communication delay or communication failure beyond the boundary occurs between the two-stage converters or network attack exists, the data is maliciously tampered, signals transmitted from the communication bus are abandoned, and a local direct measurement signal u is adoptedabcj,iBabcjAnd the input voltage is used as the input of the secondary control of the two-stage converter.
By combining the hierarchical management of the converters and the data optimization of each converter, the correctness of the communication signal can be determined in a double-guarantee manner, and the influence caused by data loss, communication delay, failure and the like is avoided.
As shown in fig. 3 and 5, the control of the secondary converter in this embodiment includes three major parts, i.e., a secondary control part, a primary control part, and a three-phase bridge circuit, and the information F of the dynamic main reference unit in the sub-microgrid connected to the secondary converter and transmitted by the communication bus is collected by the secondary control moduleXmaxjThen, the F is judged through a local secondary weight selection functionXmaxjWhether the maximum value of all sub-microgrid main reference units is obtained or not, and if the maximum value is obtained, F corresponding to the two-stage converterXmaxjIs FmaxMGAnd sending the reference signal to other secondary converters through a communication bus to serve as a unified reference; if the F isXmaxjNot the maximum reference coefficient of the system, the two-stage converter receives a reference signal F from the communication busmaxMGThen the signal F is appliedmaxMGThe input data optimization function module judges whether the signal is credible according to the formula (7), if the signal is credible, the input data optimization function module is used as an input signal for secondary control of the secondary converter, and generates a compensation signal delta X for primary control through calculation of the formula (7)cBj＝ΔXccBjOtherwise, the two-stage converter is used to measure the local voltage-current signal uabcj,iBabcjAs an input signal for secondary control of the two-stage converter, and generating a compensation signal DeltaX for the primary control by calculating according to equation (7)cBj＝ΔXlcBj. After the primary control part of the secondary converter receives the compensation signal, the actual output of the secondary converter is controlled, secondary coordination control between the sub-micro-grids can be realized through tracking control over the secondary maximum main reference unit, and finally, the local reference coefficients of all the primary converters of all the sub-micro-grids are equal, as shown in formula (8), it is shown that the target micro-grid groups such as voltage frequency adjustment, power equalization, economic optimization and the like set in formula (1) are realized.
FX1MG1＝FX2MG1＝FX3MG1…＝FXnMG1
＝FX1MG2＝FX2MG2＝FX3MG2…＝FXnMG2
＝FX1MG3＝FX2MG3＝FX3MG3…＝FXnMG3
＝…＝FX1MGj＝FX2MGj＝FX3MGj…＝FXnMGj (8)
Wherein, FX1MG1，FX2MG1，FX3MG1，FXnMG1Respectively representing the parameters of the 1 st, 2 nd, 3 rd and n primary dynamic main reference units in the 1 st sub-microgrid, FX1MG2，FX2MG2，FX3MG2，FXnMG2Respectively expressing the parameters F of the 1 st, 2 nd, 3 th and n first-level dynamic main reference units in the 2 nd sub-microgridX1MG3，FX2MG3，FX3MG3，FXnMG3Respectively representing the parameters of the 1 st, 2 nd, 3 rd and n first-level dynamic main reference units in the 3 rd sub-microgrid, FX1MGj，FX2MGj，FX3MGj，FXnMGjAnd respectively expressing the parameters of the 1 st, 2 nd, 3 th and n first-level dynamic main reference units in the jth sub-microgrid.
According to the control method, hierarchical management and data optimization are combined, the problems of difference between different micro sources in a single micro grid and difference between the micro grid and the micro grid can be solved, the adaptability to multiple topological structures is high, the reliability of the system can be improved through a dynamic main reference unit, the effectiveness of secondary control of the system under the condition of communication delay communication failure and malicious data attack can be guaranteed through local data optimization, the safety and reliability of the system are guaranteed dually, secondary coordination control of a micro grid group system based on ultra-low bandwidth communication can be achieved, the control method is convenient to expand and apply to multiple topological structure type micro grid groups, and the communication burden of secondary coordination control of the micro grid group system can be greatly reduced.
The embodiment of the dynamic microgrid group secondary coordination control device based on data optimization includes:
the primary converters comprise all converters in each sub-microgrid;
the two-stage converter comprises all converters interconnected among the micro-grids;
the data optimization module is used for judging whether the received data is credible or not when the control data is received by each primary converter and each secondary converter, if so, the received control data is used as a secondary control signal, and otherwise, the secondary control signal is determined again;
and the secondary control module is used for executing secondary control in each sub-microgrid by each primary converter according to the determined secondary control signal, and executing secondary control among the sub-microgrids by each secondary converter according to the secondary control signal determined in the step S02.
In this embodiment, the microgrid controller further comprises a dynamic main reference unit determining unit, which is used for dynamically selecting one primary converter as a primary dynamic main reference unit according to the real-time state parameters of the primary converters in each microgrid, and transmitting the information of the primary dynamic main reference unit as control information to other primary converters; and dynamically selecting a secondary converter as a secondary dynamic main reference unit according to the information of the dynamic main reference unit of each sub-microgrid, and transmitting the information of the secondary dynamic main reference unit as control information to other secondary converters.
In this embodiment, the system further includes a primary control module for performing primary control and a three-phase bridge circuit for generating a local measurement signal of the converter, the three-phase bridge circuit is connected to the secondary control module through the primary control module, the primary control module outputs a state parameter of the converter to the secondary control module, and the secondary control module generates a primary control compensation signal according to the determined secondary control signal and sends the primary control compensation signal to the primary control module.
The above-described first-stage converter and second-stage converter are divided as shown in fig. 2, and the secondary control module includes a secondary control module for the first-stage converter as shown in fig. 4, and a secondary control module for the secondary converter as shown in fig. 5.
The dynamic microgrid group secondary coordination control device based on data optimization corresponds to the dynamic microgrid group secondary coordination control method based on data optimization, and details are not repeated here.
The foregoing is considered as illustrative of the preferred embodiments of the invention and is not to be construed as limiting the invention in any way. Although the present invention has been described with reference to the preferred embodiments, it is not intended to be limited thereto. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical spirit of the present invention should fall within the protection scope of the technical scheme of the present invention, unless the technical spirit of the present invention departs from the content of the technical scheme of the present invention.
Claims (10)
1. A secondary coordination control method for a dynamic micro-grid group based on data optimization is characterized by comprising the following steps:
s01, grading division: dividing all converters in each sub-microgrid into primary converters, and dividing all converters interconnected among the microgrids into secondary converters;
s02, data optimization: when the first-stage converter and the second-stage converter receive control data, judging whether the received data is credible, if so, taking the received control data as a secondary control signal, otherwise, acquiring local measurement data of the converters to re-determine the secondary control signal;
s03, secondary control: each of the primary inverters performs secondary control within each of the piconets according to the secondary control signal determined in step S02, and each of the secondary inverters performs secondary control between the piconets according to the secondary control signal determined in step S02.
2. The method for secondary coordination control of dynamic microgrid group based on data optimization of claim 1, characterized in that in the step S02, if | Δ Xlc-ΔXccError less than a predetermined confidence level emaxIf the received data is not authentic, determining the received data to be authentic, otherwise, determining the received data to be not authentic, wherein the value of the delta X islcFor secondary control signals calculated from local actual direct measurement signals, Δ XccIs a secondary control signal calculated using the received control data.
3. The data optimization-based dynamic microgrid group secondary coordination control method of claim 1, wherein after the step S02 determines a secondary control signal, the method further comprises generating a primary control compensation signal according to the determined secondary control signal; in step S03, each of the first-stage converter and the second-stage converter further includes sending the generated primary control compensation signal to a primary control.
4. The data optimization-based dynamic microgrid group secondary coordination control method of claim 3, characterized in that when it is judged in step S02 that the control data received by the target converter is authentic, the target converter in step S03 uses the received control signal as a secondary control input and sends the received control signal to the primary control as a primary control compensation signal; when it is determined in step S02 that the control data received by the target converter is not authentic, the target converter uses the control signal calculated from the local measurement data as a secondary control input in step S03, and transmits the control signal calculated from the local measurement data as a primary control compensation signal to the primary control.
5. The method for secondary coordination control of the dynamic microgrid cluster based on data optimization of claim 1, wherein the step S01 further comprises: dynamically selecting one primary converter as a primary dynamic main reference unit according to the real-time state parameters of each primary converter in each sub-microgrid, and transmitting the information of the primary dynamic main reference unit as control information to other primary converters; and dynamically selecting one secondary converter as a secondary dynamic main reference unit according to the information of the dynamic main reference unit of each sub-microgrid, and transmitting the information of the secondary dynamic main reference unit as control information to other secondary converters.
6. The data optimization-based dynamic microgrid group secondary coordination control method of claim 5, characterized in that when the primary dynamic main reference unit is selected, a corresponding local reference coefficient is calculated according to a real-time state parameter of each primary converter, and the primary converter corresponding to the maximum value of the local reference coefficient is used as the primary dynamic main reference unit.
7. The data optimization-based secondary coordination control method for the dynamic microgrid cluster is characterized in that when the secondary dynamic main reference unit is selected, the state parameters of the primary dynamic main reference units of each microgrid are selected and obtained, and a secondary converter corresponding to a target primary dynamic main reference unit with the maximum value is screened out and used as the secondary dynamic main reference unit.
8. A dynamic microgrid group secondary coordination control device based on data optimization is characterized by comprising:
the primary converters comprise all converters in each sub-microgrid;
the two-stage converter comprises all converters interconnected among the micro-grids;
the data optimization module is used for judging whether the received data is credible or not when the primary converter and the secondary converter receive the control data, if so, the received control data is used as a secondary control signal, and otherwise, local measurement data of the converters are obtained to re-determine the secondary control signal;
and a secondary control module, configured to execute secondary control inside each microgrid by each primary converter according to the determined secondary control signal, and execute secondary control among the piconets by each secondary converter according to the secondary control signal determined in step S02.
9. The data optimization-based secondary coordination control device for the dynamic microgrid cluster is characterized by further comprising a dynamic main reference unit determining unit, wherein the dynamic main reference unit determining unit is used for dynamically selecting one primary converter as a primary dynamic main reference unit according to the real-time state parameters of the primary converters in each microgrid and transmitting the information of the primary dynamic main reference unit as control information to other primary converters; and dynamically selecting one secondary converter as a secondary dynamic main reference unit according to the information of the dynamic main reference unit of each sub-microgrid, and transmitting the information of the secondary dynamic main reference unit as control information to other secondary converters.
10. The data optimization-based dynamic microgrid group secondary coordination control device is characterized by further comprising a primary control module for executing primary control and a three-phase bridge circuit for generating local measurement signals of a converter, wherein the three-phase bridge circuit is connected with the secondary control module through the primary control module, the primary control module outputs state parameters of the converter to the secondary control module, and the secondary control module generates a primary control compensation signal according to the determined secondary control signal and sends the primary control compensation signal to the primary control module.
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